Machine Learning Engineer

WireScreen

Machine Learning Engineer focusing on entity resolution and knowledge graph development at WireScreen, enhancing transparency in global supply chains. Collaborating with cross-functional teams to scale AI capabilities.

Posted 6/26/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $150,000 - $195,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Fine tune our existing entity resolution algorithms to uncover hidden connections between people and organizations across China
Expand our knowledge graph with alternative data to map out the power structure of China
Train, test and deploy ML models that operate on tens of millions of records daily
Work with Product to define and implement evaluation harnesses for classical ML and agentic systems
Build agent workflows into internal tools to improve the scale and speed of our Research team

Requirements

What you’ll need

4+ years of experience working on clustering-type ML problems, ideally in the domain of knowledge graphs / entity resolution, but other domains could include; recommendation engines, cohort analysis, outlier/anomaly detection
End-to-end machine learning model experience in production; that you’ve stood up a service including experimenting, training, testing and tuning a job against a dataset all the way through to deployment and beyond. Model families could include clustering, classification/regression, dimensionality reduction and embeddings, nearest-neighbor/similarity methods (e.g. KNN, SVM), ensembles, NLP, and deep learning.
Significant experience with python programming and SQL

Benefits

Comp & perks

Competitive compensation including salary, equity, and rapid growth potential
100% company-paid Medical, Dental, and Vision coverage for employees
FSA, HSA, and 401(k) options to help you plan for healthcare expenses and retirement
Generous paid time off plus company-wide holidays to help you rest and recharge
Pre-tax commuter benefits to help you save on transit and parking
Hybrid office schedule designed to give you flexibility while staying connected with your team

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Hard Skills & Tools

machine learningclusteringclassificationregressiondimensionality reductionembeddingsnearest-neighbor methodsNLPdeep learningpython